Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18B5122625511B62E38E78664FA50F700899E4789DC639D15F6DC12CA0FC6DF0C8A3632 |
|
CONTENT
ssdeep
|
48:zK8T49lYN4Bs/JchdfA3of4ilY3EkDwyH3lSXGkDaE8ZH3lSXuP9WqcPA+K:zKG6JA63aEkDPsGkDYskbc47 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3b38ccc8c333399 |
|
VISUAL
aHash
|
ffffe7e718000000 |
|
VISUAL
dHash
|
00314848324c1100 |
|
VISUAL
wHash
|
ffffefe798000000 |
|
VISUAL
colorHash
|
07200010080 |
|
VISUAL
cropResistant
|
00314848324c1100 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 34 techniques to evade detection by security scanners and make reverse engineering more difficult.
Drainer supports multiple blockchain networks and checks for high-value tokens on each chain before executing drain operations.